A Guide for In-House Counsels Many organisations are not content to simply keep pace with technological change, and they are looking to their legal counsels for guidance on safely embedding AI use into...
While technology powers legal AI, it is the content that truly fuels its impact. In this episode, we explore why high-quality, legal content is essential to delivering accurate, AI outcomes. From legal...
Schools must shift from a reactive, case-by-case approach to a proactive compliance culture. This requires strategic leadership that not only integrates mandatory WHS reporting, ACNC Standards, and director...
Forrester Consulting conducted an independent Total Economic Impact™ study of Lexis+ Al for corporate legal departments, commissioned by LexisNexis® in June 2025. Related Content: How...
Dive into the next evolution of legal tech with our latest Legal Talk podcast Legal AI Evolves: Exploring Agentic AI and Its Impact on Legal Practice. Discover what agentic AI is and how it's transforming...
With new Artificial Intelligence (AI) models and applications being created every day, the opportunities presented by AI are vast. However, these new tools do not come without their challenges. The risks associated with quality control, biases, and privacy are important considerations and the topic of much debate.
Apprehension about embracing AI stems in part from our fear of blind spots. Perhaps for all our careful planning and risk analysis, something crucial could be overlooked, and the business finds itself in hot water.
How then, do we deploy AI tools in a way that improves workflow but does not increase risk?
Experts from the panel and roundtable discussions at the Governance Institute of Australia’s International Governance Leadership Conference suggest attention must be given to two key areas: oversight of AI decision-making and data governance.
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